[1]王海银,王美凤,房 良,等.价值导向下医疗服务价格改革的区域分类路径研究[J].卫生经济研究,2026,43(07):87-90,93.
　WANG Haiyin,WANG Meifeng,FANG Liang,et al.An Approach to Healthcare Service Pricing Reform Through Regional Classification Under Value-Based Guidance[J].Journal Press of Health Economics Research,2026,43(07):87-90,93.
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价值导向下医疗服务价格改革的区域分类路径研究

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
43
期数:
2026年07期
页码:
87-90,93
栏目:
卫生服务价格
出版日期:
2026-07-03

文章信息/Info

Title:
An Approach to Healthcare Service Pricing Reform Through Regional Classification Under Value-Based Guidance
作者:
王海银1; 王美凤1; 房 良1; 汪 茹1; 张晨曦2
1.上海市卫生和健康发展研究中心， 上海 201199
2.山东第二医科大学公共卫生学院，山东 潍坊 261053
Author(s):
WANG Haiyin;  WANG Meifeng;  FANG Liang;  WANG Ru;  ZHANG Chenxi
Shanghai Health Development Research Center (Shanghai Institute of Medical Science and Technology Information), Shanghai 200040, China
关键词:
医疗服务价格改革; 区域异质性; 分类改革; 价值创造指数
Keywords:
healthcare service pricing reform;  regional heterogeneity;  classification reform;  value creation index
分类号:
R197
文献标志码:
A
摘要:
目的：针对当前医疗服务价格改革面临的区域异质性难题，探索基于价值导向的分类改革路径，以提升改革精准性。方法：基于价值医疗理念，计算31个省（区、市）医疗服务价值创造指数（M-SVI），运用K-means聚类与象限分析法，进行区域分类。结果：将31个省（区、市）划分为四大类，A类为高价值—高产出的引领地区，B类进一步细分为B1中高价值—中高产出、B2较低价值—中等产出、B3低价值—中等产出三个亚组，C类和D类均为低价值—低产出地区；M-SVI与健康产出、人均卫生费用均呈显著正相关。结论：对A类及B1地区，重在“激励创新”，优先调整技术劳务价格并探索价值付费；对B2地区，重在“提升效能”，将核心服务调价与绩效挂钩；对B3地区，重在“巩固基础”，倾斜支持基层医疗服务价格；对C类、D类地区，重在“规范与督导”，约束低效投入并倒逼效率提升。通过实施差异化策略，建立融合价值与健康结果的动态调价机制，系统推动价格改革走向精准化与科学化。
Abstract:
Objective This study investigated a value-oriented method to create classified reform paths in order to address the issues of regional variability, and imprecise policy implementation in current healthcare service pricing reforms. Methods Based on value-based healthcare philosophy, the Medical Service Value Creation Index(M-SVI) was calculated for 31 provinces(autonomous regions and municipalities). Within an analytical framework of "regional endowment → health input → M-SVI → health outcome", regional classification was performed using K-means clustering and quadrant analysis. Results The 31 provinces(autonomous regions and municipalities) were classified into four categories. Type A(high value-high outcome) represented the leading regions. Type B was further subdivided into B1 (medium-high value-medium-high outcome), B2(medium outcome-relatively low value), and B3(medium outcome-low value), indicating significant internal heterogeneity. Types C and D were both low value-low outcome regions. Health outcomes and per capita health spending were significantly positively correlated with the M-SVI. Conclusion Regional types should be taken into consideration when implementing differentiated pricing strategies. It is necessary to focus on "incentivizing innovation" in Type A and B1 regions by giving priority to technical service adjustments and investigating value-based payment, "enhancing efficiency" in Type B2 regions by tying core service price adjustments to performance, "consolidating the foundation" in Type B3 regions by shifting price support to primary care services; and "standardization and supervision" in Type C and D regions by limiting inefficient pricing and promoting efficiency improvements. In order to systematically guide pricing reform toward accuracy and scientific refinement, it is advised to set up a dynamic price adjustment process that integrates value generation and health outcomes.

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更新日期/Last Update: 2026-07-03